Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease

Niina Sandholm^*, Joanne B Cole, Viji Nair, Xin Sheng, Hongbo Liu, Emma Ahlqvist, Natalie Van Zuydam, Emma H Dahlström, Damian Fermin, Laura Smyth, Rany M Salem, Carol Forsblom, Erkka Valo, Valma Harjutsalo, Eoin P Brennan, Gareth McKay, Darrell Andrews, Ross Doyle, Helen Looker, Robert NelsonColin Palmer, Amy Jayne McKnight, Catherine Godson, Peter Maxwell, Leif Groop, Mark McCarthy, Matthias Kretzler, Katalin Susztak, Joel N Hirschhorn, Jose C Florez, Per-Henrik Groop

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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R3789CPH: Discovery of an integrated risk profile for chronic kidney disease and development of a clinical biomarker panel for personalising medicine (Stratified medicine for chronic kidney disease)
McKnight, A. J. (PI) & Maxwell, P. (CoI)
15/06/2016 → 31/12/2023
Project: Research
R4744CPH: Integrative genomic, epigenetic and functional studies in diabetic kidney disease
Maxwell, P. (PI), McKay, G. (CoI) & McKnight, A. J. (CoI)
27/01/2016 → 31/03/2023
Project: Research

Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease

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R3789CPH: Discovery of an integrated risk profile for chronic kidney disease and development of a clinical biomarker panel for personalising medicine (Stratified medicine for chronic kidney disease)

R4744CPH: Integrative genomic, epigenetic and functional studies in diabetic kidney disease